Duke University, Biostatistics & Bioinformatics

Position ID:Duke-Biostatistics & Bioinformatics-POSTDOC27 [#18654, 115488]
Position Title: Postdoctoral Associate-Biostatistics
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27710, United States [map]
Subject Area: Biostatistics / statistical genomics
Appl Deadline:none (posted 2021/05/18)
Position Description:    

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Postdoctoral Associate – Biostatistics

Duke University is seeking several successful postdoctoral associates in the Department of Biostatistics and Bioinformatics (www.biostat.duke.edu). Duke University is regularly ranked among the top research institutions in the US and worldwide. It is located in Durham, North Carolina.

Position Description: The objectives of these projects are: to identify and validate surrogate endpoints of overall survival using data from cancer clinical trials in patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta-analyses.

These projects will lead to both collaborative and methodological publications in high-quality, peer-reviewed journals. The selected candidates will have the opportunity to learn new statistical methods and applying new skills to the projects, testing for surrogacy, building prognostic models, validating models, developing methodology and co-authoring manuscripts. Other opportunities include gaining experience with writing manuscripts and grant proposals.

Qualifications: Candidates must have the following: a doctoral degree in statistics or biostatistics; solid training in statistical methods; and experience in analyzing clinical trials data. The applicant must have excellent communication skills (verbal and written), strong programming skills in R with proficiency in UNIX/Linux system. Being able to work as part of a team as well as independently are important skills. For the meta-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. For the other positions, knowledge in longitudinal and survival analysis, machine learning, bioinformatics methods in –omics data is desired.

Benefits: We offer very competitive salary and excellent benefits. Visit the Duke University Office of Postdoctoral Service website at http://www.postdoc.duke.edu and Duke HR website at www.hr.duke.edu for details.

Application Deadline: If interested in this position, please apply online on the Duke HR website using the following link: https://career4.successfactors.com/sfcareer/jobreqcareer?jobId=115488&company=dukeuniverP1

Consideration of applications will begin immediately, and will continue until the positions are filled. Interviews will be conducted until the positions are filled and appointments will be made for two-years. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke also makes good faith efforts to recruit, hire, and promote qualified women, minorities, individuals with disabilities, and veterans.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


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